Data networks question - shannon capacity formula

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SUMMARY

The discussion centers on calculating the bandwidth of a video signal using the Shannon capacity formula, specifically C=Blog2(1+SNR). Given a television picture composed of approximately 300,000 pixels, each capable of 10 distinguishable brightness levels, and a frame rate of 30 frames per second, the calculated bandwidth is 30 Mbps. The solution involves determining bits per pixel, which is found to be 3.32 bits/pixel, and multiplying this by the total number of pixels and the frame rate to achieve the final bandwidth result.

PREREQUISITES
  • Understanding of Shannon's capacity formula
  • Knowledge of signal-to-noise ratio (SNR) concepts
  • Familiarity with video signal processing
  • Basic principles of pixel representation in digital images
NEXT STEPS
  • Explore advanced applications of Shannon's capacity in video compression techniques
  • Learn about signal-to-noise ratio (SNR) optimization in video transmission
  • Investigate the impact of frame rates on video quality and bandwidth requirements
  • Study the relationship between pixel depth and bandwidth in digital imaging
USEFUL FOR

Students in telecommunications, video engineers, and anyone involved in video signal processing and bandwidth optimization will benefit from this discussion.

bos1234
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Homework Statement


A television picture is composed of approximately 300,000 individual picture elements
(pixels), each of which can attain ten different and distinguishable brightness levels (such as
black and shades of gray) for proper contrast. If for any picture element, the probability of
occurrence of the ten brightness levels are equal, and the frame rate is 30. Determine the
bandwidth of the video signal. Assume that a channel signal-to-noise ratio (SNR) of 30 dB is
required for proper reproduction of any picture.


Homework Equations


soln. says to use C=Blog_2(1+SNR)

how many bits/pixel?
log_210 bits/pixel=3.32 bits/pixel

C=300,000 x 30 x 3.32 = 30mbps

then proceeds to find B.

Why are they calculating bits/pixel? and where did the 30 come from? frame rate?
 
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I think it's easiest to understand this by doing unit analysis of a single pixel and then multiplying the answer by the number of pixels (300k) because it's sort of like 300k parallel channels.

So we want bits per second. We have pixels per second (framerate). If we could get bits per pixel, we could multiply the two and have:
[pixels]/[second] *[bits]/[pixel] = [bits]/[second]

so you find bits/pixel, multiply it, and scale by how many parallel channels you have (300k)
 
thanks buddy. Got it now!
i didnt know frame rate was bits/second!
 

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